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A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method

Transactions of Nonferrous Metals Society of China 2014年第4期24卷 1242-1247页

作者：范洪冬顾伟秦勇薛继群陈炳乾中国矿业大学江苏省资源环境信息工程重点实验室徐州221116 中国矿业大学资源与地球科学学院徐州221116 中化地质矿山总局浙江地质勘查院杭州310002

Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar （D-InSAR） alone, a new algorithm was proposed to extract large deformation mining subsidence using D-InSAR technique and probability integral method. The details of the algorithm are as follows：the control points set, containing correct phase unwrapping points on the subsidence basin edge generated by D-InSAR and several observation points （near the maximum subsidence and inflection points）, was established at first; genetic algorithm （GA） was then used to optimize the parameters of probability integral method; at last, the surface subsidence was deduced according to the optimum parameters. The results of the experiment in Huaibei mining area, China, show that the presented method can generate the correct mining subsidence basin with a few surface observations, and the relative error of maximum subsidence point is about 8.3%, which is much better than that of conventional D-InSAR （relative error is 68.0%）.

关键词： D-InSAR genetic algorithm probability integral method mining subsidence

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Hazard development mechanism and deformation estimation of water solution mining area

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Journal of Central South University of Technology 2006年第6期13卷 738-742页

作者：贺跃光李志伟杨小礼 School of Highway Engineering Changsha University of Science and Technology School of Info-Physics and Geomatics Engineering Central South University School of Civil and Architectural Engineering Central South University

Based on the hazard development mechanism, a water solution area is closely related to the supporting effect of pressure-bearing water, the relaxing and collapsing effect of orebody interlayer, the collapsing effect of thawless material in orebody, filling effect caused by cubical expansibility of hydrate crystallization and uplifting effect of hard rock layer over cranny belt. The movement and deformation of ground surface caused by underground water solution mining is believed to be much weaker than that caused by well lane mining, which can be predicted by the stochastic medium theory method. On the basis of analysis on the engineering practice of water solution mining, its corresponding parameters can be obtained from the in-site data of the belt water and sand filling mining in engineering analog approach.

关键词： water solution mining hazard, ground surface deformation and movement probability integral method

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Inversion of Probabilistic integral Model Parameters Based on Artificial Fish School

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Meteorological and Environmental Research 2021年第4期12卷 32-33,38页

作者： Guanjin ZHANG Ping YUAN Anhui Science and Technology University Fengyang 233100China

In view of the probability integration method,mining subsidence prediction parameter inversion is a highly nonlinear *** algorithm is unstable during inversion,and it is easy to fall into a local optimal *** can be used to solve nonlinear problems,has strong robustness,and has a better overall *** artificial fish school algorithm(AFSA)with optimizing ability is introduced into the inversion of prediction parameters of mining subsidence using probability integral *** algorithm has been applied in the optimal allocation of water resources in Guangdong Province and the optimization of distribution *** have not yet seen the application of AFSA to the inversion of probabilistic integral model *** view of this,this paper introduces AFSA into the inversion of probabilistic integral model parameters for the first time,and constructs an inversion method of probabilistic integral mining subsidence prediction parameters based on *** indicates that the AFSA probabilistic integral model parameter inversion method is applied to the ground movement measured data of a mine in Huainan,and the predicted parameters of the probability integral method are as follows:q=1.0592,tanβ=2.0203,b=0.4049,θ=87.2209°,S_(1)=1.2840 m,S_(2)=0.4530 m,S_(3)=62.2000 m,S_(4)=44.7531 *** error in fitting of sinking and horizontal movement is 131.74 mm,which meets the accuracy requirements of engineering applications.

关键词： Mining subsidence Parameter inversion Artificial fish school algorithm probability integral method

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